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Job Description
We are seeking an experienced Senior API Engineer to help drive the design, development, and optimization of our API ecosystem. Reporting to the Lead API Engineer, this role will be responsible for helping build and optimize API solutions, ensuring scalability, security, and performance. The ideal candidate will have strong hands-on experience with modern API frameworks, microservices architecture, and cloud-based solutions, as well as a track record of collaborating with cross-functional teams to deliver seamless integrations. Experience with Databricks is a plus, particularly in integrating APIs with big data pipelines and analytics solutions.
Key Responsibilities
We are seeking an experienced Senior API Engineer to help drive the design, development, and optimization of our API ecosystem. Reporting to the Lead API Engineer, this role will be responsible for helping build and optimize API solutions, ensuring scalability, security, and performance. The ideal candidate will have strong hands-on experience with modern API frameworks, microservices architecture, and cloud-based solutions, as well as a track record of collaborating with cross-functional teams to deliver seamless integrations. Experience with Databricks is a plus, particularly in integrating APIs with big data pipelines and analytics solutions.
Key Responsibilities
- Architect & Develop: Help drive the planning, building, and deploying APIs and microservices, focusing on high availability and superior performance at scale.
- Strategic Collaboration: Partner with product management, engineering, and DevOps teams to define API guidelines, governance models, and integration patterns that drive alignment across the organization.
- Security & Compliance: Implement and enforce authentication, authorization, and encryption standards (OAuth2, JWT, API key management) to protect assets and meet industry regulations.
- Optimize & Innovate: Leverage caching, rate-limiting, and advanced monitoring tools (Prometheus, Grafana) to maximize throughput, minimize latency, and ensure proactive issue detection.
- Technical Leadership: Conduct rigorous code reviews, mentor junior engineers, and champion best practices in API design and microservices architecture to maintain technical excellence.
- Cloud & Containers: Utilize AWS, GCP, or Azure to host and orchestrate microservices, employing Docker and Kubernetes for efficient, containerized deployments.
- Data Integration: Integrate APIs with Databricks, Spark, or Snowflake to facilitate advanced analytics and real-time data processing, enabling faster, data-driven decisions.
- Documentation & Reliability: Produce developer-centric documentation and implement thorough testing to minimize downtime while ensuring consistent, high-quality API experiences.
- Continuous Improvement: Stay current with emerging trends in API development—like serverless computing, edge computing, and new security frameworks—to continuously evolve our ecosystem.
- Education: Bachelor’s degree (or foreign equivalent) in Computer Science, Applied Mathematics, Statistics, Machine Learning, or a closely related field.
- Experience: 5+ years in API development, focusing on RESTful and GraphQL APIs.
- Programming: Proficient in Python, Java, Node.js, or Go.
- API Management: Hands-on experience with Mulesoft, Kong, Apigee, AWS API Gateway, or Azure API Management.
- Architecture: Strong grasp of microservices architecture and event-driven design patterns.
- Cloud & Containers: Expertise with AWS, GCP, or Azure and containerization (Docker, Kubernetes).
- Security: Advanced knowledge of OAuth2, JWT, and API key management.
- Optimization Tools: Familiarity with caching, load balancing, and monitoring (Prometheus, Grafana).
- DevOps & CI/CD: Knowledge of CI/CD pipelines and DevOps practices for streamlined deployments.
- Big Data Integration: Experience working with Databricks, Spark, or Snowflake.
- Soft Skills: Excellent problem-solving, attention to detail, and ability to thrive in fast-paced environments.
- Serverless Tech: Experience with AWS Lambda, Google Cloud Functions, or Azure Functions.
- Messaging: Familiarity with Kafka, RabbitMQ, or other event-driven frameworks.
- Database Skills: Understanding of both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases.
- Agile Environment: Background in agile development settings.
- Industry Experience: Healthcare experience is a plus.
- Leadership & Communication: Strong communication skills and the ability to mentor and guide team members.
Key Skills
Ranked by relevance
microservices
aws
prometheus
docker
devops
cloud
spark
cicd
gcp
high availability
containerization
machine learning
kubernetes
postgresql
serverless
rabbitmq
dynamodb
big data
graphql
grafana
python
nosql
mysql
kafka
java
sql
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- Posted
- Jun 17, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Dublin
- Company
- Henry Schein
Industries
Medical Equipment Manufacturing
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
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2026-06-16
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View Job Details
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Software Developer (C#) (m(w/d)
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